Abstract
Digitalisation of health care for the purpose of medi
cal documentation
lead to huge amounts of data, hence having an opport
unity to derive knowledge
and associations of different attributes recorded. Many
health care events can be
prevented when identified. Machine learning algorithms
could identify such events
but there is ambiguity in understanding the suggestio
ns especially in clinical setup.
In this paper we are presenting how we explain the dec
ision based on random
forest to health care professionals in the course of th
e project predicting delirium
during hospitalisation on the day of admission.
Original language | English |
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Title of host publication | Data, Informatics and Technology: An Inspiration for Improved Health Care (Serie Studies in Health Technology and Informatics) |
Publisher | IOS Press |
Pages | 97-100 |
Number of pages | 4 |
ISBN (Print) | 978-1-61499-880-8 |
DOIs | |
Publication status | Published - 2018 |
Event | 16th International Conference on Informatics, Management and Technology in Healthcare (ICIMTH 2018) - Duration: 6 Jul 2018 → 8 Jul 2018 |
Conference
Conference | 16th International Conference on Informatics, Management and Technology in Healthcare (ICIMTH 2018) |
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Period | 6/07/18 → 8/07/18 |
Research Field
- Exploration of Digital Health
Keywords
- Electronic health records
- machine learning
- delirium
- im portant features